系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (3): 862-870.doi: 10.12305/j.issn.1001-506X.2025.03.18

• 系统工程 • 上一篇    

基于图神经网络的导弹时序规划方法

陈凯, 张德平   

  1. 南京航空航天大学计算机科学与技术学院, 江苏 南京 211106
  • 收稿日期:2023-09-08 出版日期:2025-03-28 发布日期:2025-04-18
  • 通讯作者: 张德平
  • 作者简介:陈凯 (2000—), 男, 硕士研究生, 主要研究方向为任务规划
    张德平 (1973—), 男, 讲师, 博士, 主要研究方向为大数据分析与人工智能建模、效能评估分析
  • 基金资助:
    基础科研基金(JCKY2020605C003);基础科研基金(JCKY2022605C006)

Missile temporal planning method based on graph neural network

Kai CHEN, Deping ZHANG   

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2023-09-08 Online:2025-03-28 Published:2025-04-18
  • Contact: Deping ZHANG

摘要:

多导弹协同编队作战已成为现代战争中打击关键目标的重要手段, 为应对瞬息万变的战场局势, 要求快速计算导弹发射时序, 使所有导弹在预定时间内准确完成打击任务。为解决多导弹协同发射时序规划问题, 基于图神经网络提出一种以导弹发射完成时间最小化为目标的整数线性规划模型, 设计出基于图神经网络模型的导弹发射顺序规划算法, 并基于节点采样和贪婪插入策略对导弹发射顺序进行局部优化, 可协助战场指挥员快速生成导弹发射时序方案。对20~200枚导弹协同发射实例进行验证分析。实验结果表明, 该模型和方法能有效解决多导弹协同发射时序规划问题。

关键词: 巡航导弹, 发射时序规划, 图神经网络, 局部优化

Abstract:

Multi-missile collaborative formation operation becomes an important means to strike key targets in modern war. In order to cope with the ever-changing battlefield situation, it is required to quickly calculate the missile launch temporal sequence, so that all missiles can accurately complete the strike task within the predetermined time. In order to solve the problem of temporal planning for multiple missile coordinated launch, an integer linear programming model with the goal of minimizing missile launch completion time is established. The missile launch sequence planning algorithm based on graph neural network model is designed, and the missile launch sequence is optimized locally based on node sampling and greedy insertion strategy, which can help battlefield commanders to quickly generate the missile launch sequence plan. Verification and analysis are carried out for the coordinated launch of 20-200 missiles. The experimental results show that the model and method can effectively solve the problem of temporal planning for coordinated launch of multiple missiles.

Key words: cruise missile, launch temporal planning, graph neural network, local optimization

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